{"id":"W4214840276","doi":"10.1503/cjs.007819","title":"Intensity of hospital resource use following traumatic brain injury: a multicentre cohort study, 2013–2016","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Surgery","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut National d'Excellence en Santé et en Services Sociaux; The Quebec Population Health Research Network","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Medicine; Incidence (geometry); Confidence interval; Resource use; Retrospective cohort study; Emergency medicine; Cohort; Intraclass correlation; Cohort study; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001624579,0.0004157238,0.000420142,0.001173653,0.0009221459,0.001073921,0.001069038,0.000577334,0.001260161],"category_scores_gemma":[0.003077429,0.0003724835,0.001101404,0.003383772,0.0005099202,0.0007915708,0.000909487,0.0007089272,0.0002188359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005013238,"about_ca_system_score_gemma":0.003503585,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.649046,"about_ca_topic_score_gemma":0.7134241,"domain_scores_codex":[0.9988744,0.0001931549,0.0001880262,0.000259332,0.0002202648,0.0002648148],"domain_scores_gemma":[0.9977423,0.0001557495,0.001130277,0.0001695408,0.000473243,0.0003289101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003336003,0.00001405861,0.9990658,0.00001282935,0.00008806421,0.00002101572,0.00009801119,0.00003115305,0.00003600277,0.000008803595,0.0002406668,0.0003501735],"study_design_scores_gemma":[0.00000414393,0.00001535033,0.9994469,0.00001074859,0.00002181547,0.00002991157,0.0001922041,0.0001259234,0.00001206526,0.000004817039,0.0001321408,0.000003938251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991744,0.0003624351,0.0001547925,0.0001329626,0.00001338936,0.00007354413,0.007182699,0.000006805649,0.0003294266],"genre_scores_gemma":[0.9965608,0.0001689525,0.0001285551,0.00009620366,0.000008790938,0.00005845396,0.002819007,0.000003898226,0.0001553532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.649046,"threshold_uncertainty_score":0.7060417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04168763476132385,"score_gpt":0.2661510628072662,"score_spread":0.2244634280459423,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}